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the Method of compression and restoration of images of RGB-model real time

On the basis of the mathematical model presented in section 2.1 zayodacha of compression of the image it is reduced to consecutive extraction matemayoticheskih functions in an aspect:

, Where Brez - a resultant function of result of compression; Bhaf - funkyotsija compression on method Haffmana; the Chaplet - function of compression by a method of "the truncated code»

Thus the resultant function is a derivative of the second order and looks as follows, and restoration of the image looks like:

, Where Fв - a resultant function of result of restoration; dFхаф - differential of function of compression on method Haffmana; dFус - differential of function of compression by a method of "the truncated code».

The method is represented in the form of the following sequence of stages of compression (stages 1 - 4), scalings realising performance by formula 3, and image recoveries (stages 5 - 8), realising performance vychisyoleny by formula 4:

Stage 1. Reception of an initial code of the image. At the given stage proyoishodit filling up of a matrix by an input information for the subsequent obrayobotki. All codes of pixels are brought in matching area external opeyorativnoj memories (input buffer). Upon termination of buffer filling up znacheniyojami codes of pixels the stage 2 is carried out. If in the course of performance of a stage 1 the conditions interfering transition to a stage 2 are detected, occurs poyovtornoe performance of a stage 1, but for a following shot.

Stage 2. Compression of an initial code of the image on the algorithm presented more low in point (2.3). On termination of compression at the given stage, it is made peyorehod to a stage 3.

Stage 3. Compression of an initial code of the image on the algorithm presented more low in point (2.3). On termination of compression at the given stage, it is made peyorehod to a stage 4.

Stage 4. Formulation of a matrix of result of 3 codes constricted at a stage pikyoselej. After formulation of a matrix of result of value arrive in the output buffer in an external memory, their further transfer in liyoniju to communication or the host-processor whence is carried out.

Stage 5. Reception of an initial code of the constricted image. At the given stage there is a filling up of a matrix by an input information for the subsequent

Recoveries. All codes of pixels are brought in matching area of an external on-line storage (input buffer). Upon termination of filling up buyofera values of codes of pixels carry out a stage 6. If in process vypolyonenija a stage 5 the conditions interfering transition to a stage 6, proyoishodit repeated performance of a stage 5, but for a following shot are detected.

Stage 6. Restoration of the constricted code of the image on method HaffYOmana according to the algorithm presented more low in point (2.4). On zaveryoshenii recoveries at the given stage, transition to a stage 7 is made.

Stage 7. Restoration of an intermediate code of the image on algoyoritmu, presented more low in point (2.4). On termination of compression at the given stage, transition to a stage 8 is made.

Stage 8. Formulation of a matrix of result of 7 values of codes of pixels rebuilt at a stage. After formulation of a matrix of result of value arrive in the output buffer in an external memory, whence it is carried out them dalyonejshy a leading-out to the external user device (monitor) or vneshyony the store of video data.

The method allows to spend compression and restoration of images razyolichnogo a size for 2 consecutive iterations. The method differs ispolyozovaniem binary matrixes and application of operations bulevoj algebras that simplifies its hardware representation.

2.3

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A source: Guljaev Cyril Alekseevich. the Method, algorithms and devices of compression and restoration of images at the remote control of critical computer systems. The dissertation on competition of a scientific degree of a Cand.Tech.Sci. Kursk - 2018. 2018

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